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Adding Relevance to XML

Identifieur interne : 001785 ( Istex/Corpus ); précédent : 001784; suivant : 001786

Adding Relevance to XML

Auteurs : Anja Theobald ; Gerhard Weikum

Source :

RBID : ISTEX:E572A0466DEB0CCADDDDE876216E5668A52FA69F

English descriptors

Abstract

Abstract: XML query languages proposed so far are limited to Boolean retrieval in the sense that query results are sets of qualifying XML elements or subgraphs. This search paradigm is intriguing for “closed” collections of XML documents such as e-commerce catalogs, but we argue that it is inadequate for searching the Web where we would prefer ranked lists of results based on relevance estimation. IR-style Web search engines, on the other hand, are incapable of exploiting the additional information made explicit in the structure, element names, and attributes of XML documents. In this paper we present a compact query language, coined XXL for “flexible XML search language”, that reconciles both search paradigms by combining XML graph pattern matching with relevance estimations and producing ranked lists of XML subgraphs as search results. The paper describes the language design, sketches implementation issues, and presents preliminary experimental results.

Url:
DOI: 10.1007/3-540-45271-0_7

Links to Exploration step

ISTEX:E572A0466DEB0CCADDDDE876216E5668A52FA69F

Le document en format XML

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